agentmods.dev

xsolla-ai-kit: Instructions file for GitHub Copilot

.github/copilot-instructions.md

xsolla-ai-kit copilot-instructions.md is an instructions file for GitHub Copilot from xsolla/xsolla-ai-kit. It costs 241 tokens per session, scanned A, original, MIT.

Repository instructions for working with Xsolla game-commerce features through GitHub Copilot. They describe available skills, API access, authentication, and sandbox project details.

In plain words
What is it for?
Use them when building or integrating shops, catalogs, login, checkout payments, webhooks, or production release steps for Xsolla.
Why use it?
They give an agent the project context and operating rules needed to work consistently with Xsolla services.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is xsolla/xsolla-ai-kit's own configuration. It tells GitHub Copilot how to work on xsolla-ai-kit itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything xsolla-ai-kit configures →

not rated 9repo +1 today A scan 241 tokens original MIT
View source ↗ xsolla/xsolla-ai-kit xsolla.com
Reuse

Borrowing it

Nothing to install: this file belongs to xsolla/xsolla-ai-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/xsolla/xsolla-ai-kit/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/xsolla/xsolla-ai-kit

Made for: GitHub Copilot.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for xsolla-ai-kit copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/xsolla/xsolla-ai-kit/copilot-instructions/github.svg)](https://agentmods.dev/instructions/xsolla/xsolla-ai-kit/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/xsolla/xsolla-ai-kit/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/xsolla/xsolla-ai-kit/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for xsolla-ai-kit copilot-instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/xsolla/xsolla-ai-kit/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/xsolla/xsolla-ai-kit/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 241 This file is loaded in full into every session.
When invoked 241 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00241 $0.00241
Opus 5.5 $0.00096 $0.00096
Sonnet 5.5 $0.00048 $0.00048
Haiku 4.5 $0.00024 $0.00024

Measured 2mo ago against content hash b4a09c985b06, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

xsolla-ai-kit copilot-instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.github/copilot-instructions.md · 24 lines

What it actually says

GitHub Copilot Instructions — xsolla-ai-kit

This repo contains Xsolla agent skills. You are helping a developer build or integrate Xsolla-powered game commerce features.

Context

  • Skills call Xsolla REST APIs at https://api.xsolla.com
  • Auth: Authorization: Basic base64(XSOLLA_API_KEY:)
  • Environment variables: XSOLLA_API_KEY, PROJECT_ID, MERCHANT_ID, XSOLLA_ENV
  • Sandbox fixture project: 173042

Available skills

  • shop-setup — orchestrates the full zero-to-shop workflow
  • catalog-design — virtual catalog, items, pricing, bundles
  • login-setup — Xsolla Login / NewID authentication
  • headless-checkout-integration — Payments via Headless Checkout
  • webhooks-impl — webhook handler code generation
  • production — sandbox → live go-live checklist

When in doubt

Check skills/<name>/SKILL.md for the detailed workflow for any domain. Check skills/<name>/references/ for deep-dive reference material.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 24 lines · 241 tokens per session scan A b4a09c985b06

Subscribe to this mod's changes

xsolla-ai-kit copilot-instructions.md is an instructions file published in the GitHub repository xsolla/xsolla-ai-kit (9 stars, last pushed today), licensed MIT. It adds 241 tokens to every session, about $0.0010 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

E-commerceGame development
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